Land Use Trends During Rapid Urbanization of the City of Aydin, Turkey

The second chapter centers on patterns, specifically the geographic land-use and housing patterns common to rapid urbanization that overtakes the surrounding countryside. The chapter uses the Chinese concept of chengzhongcun, or urbanized village, along with the related concepts of chengbiancun and chengwaicun, villages on the city-edge and in the suburbs, and Chinese scholarship analyzing what happens to them in the PRD. The chapter applies these ideas to other similarly rapid urban transformations in Dakar and Zanzibar, with references to the comparability in other cities of the book. The purpose is to work toward conceptualizing from outside global North frameworks when looking at land-use patterns in urbanization. If one seeks to understand the patterns of 21st century planetary urbanization, one ought to look at the places where those patterns are most rapidly transforming the landscape and find the language there that is used to describe and analyze them. This chapter is a small experiment in doing so.

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Using urban morphology for flood risk in residential areas in Ho Chi Minh city

Science and Technology Development Journal ◽

10.32508/stdj.v19i2.679 ◽

2016 ◽

Vol 19 (2) ◽

pp. 146-153

Author(s):

Hoa Thanh Le ◽

Chau Thi Phuong Nguyen

Keyword(s):

Land Use ◽

Fractal Geometry ◽

Urban Areas ◽

Large Scale ◽

Urban Morphology ◽

Ho Chi Minh City ◽

Residential Density ◽

Urban Center ◽

Rapid Urbanization ◽

The City

Urban morphology in urban studies is used to classify and manage the distribution of urban densities. In urban planning, it helps to identify the emerging problems and solve the disorder of urban functions as in the megacity of Ho Chi Minh City. Rapid urbanization has increased the development footprint with disordered densities of building footprint, incomplete infrastructure and urban - peripheral instability. And it, then, caused more flood problems to the city. This study was based on applying fractal geometry, GIS on large-scale maps for identifying residential density based on urban morphology. The land-use map and the building footprints map of 2010 were integrated in fractal geometry to analyze the distribution of urban areas by the large scale of GIS data. This study showed HCMC had problems on irrational development in residential densities areas; and uneven development of population and residential density between the urban areas. At block scale of land-use block, in urban center had highest densities of building footprints and population, then, the medium densities in developing districts and rural-sub-districts. With these densities, there was more flood in high density areas, as in urban center, and less flood in lower density areas, as in sub-urban areas. These problems may cause some limitations to development of social, commercial, industrial, and infrastructure in HCMC. City needs to have flood control and management for development of the city.

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Methodology for sustainable development along an eco-fragile zone for land use management and mitigating climate change: Evidence of East Kolkata Wetlands

10.5194/egusphere-egu2020-2080 ◽

2020 ◽

Author(s):

Sudeshna Kumar ◽

Haimanti Banerji ◽

Biplab Kanti Sengupta

Keyword(s):

Climate Change ◽

Land Use ◽

Sustainable Development ◽

Service Sector ◽

City Size ◽

Land Use Management ◽

Rapid Urbanization ◽

East Kolkata Wetland ◽

East Kolkata Wetlands ◽

The City

Kolkata&#8217;s city core is getting depopulated but has experienced an explosive population growth leading to rapid urbanization which is encroaching the ecologically fragile wetlands of the eastern fringe of the main city. This contrasting urban growth along the East Kolkata wetland is accounted mainly for the increase in city size, expansion of tertiary and service sector activities especially the IT boom, and the improved transit facilities along the eastern fringe. This has helped the real estate sector to thrive along the vulnerable eastern fringe of the city, leading to a drastic change in the wetland ecosystem. Secondary studies have also indicated that consumption of wetlands, indicated by fragmented land use has altered the microclimate of Kolkata. The significant land cover change due to human-induced perturbations has led to an insurgence of temperature in the region (Li, Mitra, Dong, & Yang, 2018). The entire transit corridor is subjected to verticalization juxtaposing the cultural essence of Kolkata bringing with it a myriad of Economic, Social, Cultural and subsequent planning challenges. The critical review of the selective literature shows how the best planning practices have integrated transit policies with land use. This has further helped the researcher in formulating strategies and policies specific to the regional context in order to render sustainable development in the study area. The study explores how the transit policies in Kolkata have actually transformed the city physically, socially, culturally and changed its microclimate. The study identifies future trends and assesses the future development potential, intensification with the help of qualitative and quantitative analysis. The study also conducts land suitability analysis for framing proposals and recommendations for ensuring sustainable development along the East Kolkata Wetland.&#160; The outcome of this study is a methodology for sustainability strategic planning for developing the growth node along the eastern fringe of Kolkata which will curb the encroachment of the East Kolkata Wetlands. The study also provides a platform for policy recommendations for land use management and mitigate future climate changes in this eco-fragile zone.Keywords: landuse; climate change; transit policies; sustainable planning; wetlandsReferenceLi, X., Mitra, C., Dong, L., & Yang, Q. (2018). Understanding land use change impacts on microclimate using Weather Research and Forecasting (WRF) model. Physics and Chemistry of the Earth, 103, 115&#8211;126. https://doi.org/10.1016/j.pce.2017.01.017

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Spatiotemporal Analysis of Land Use/Cover Patterns and Their Relationship with Land Surface Temperature in Nanjing, China

Remote Sensing ◽

10.3390/rs12030440 ◽

2020 ◽

Vol 12 (3) ◽

pp. 440 ◽

Cited By ~ 2

Author(s):

Ruci Wang ◽

Hao Hou ◽

Yuji Murayama ◽

Ahmed Derdouri

Keyword(s):

Land Use ◽

Surface Temperature ◽

Land Surface Temperature ◽

Land Surface ◽

Social Life ◽

Series Data ◽

Rapid Urbanization ◽

Cooling Effects ◽

The Relationship ◽

The City

Rapid urbanization is one of the most concerning issues in the 21st century because of its significant impacts on various fields, including agriculture, forestry, ecology, and climate. The urban heat island (UHI) phenomenon, highly related to the rapid urbanization, has attracted considerable attention from both academic scholars and governmental policymakers because of its direct influence on citizens’ daily life. Land surface temperature (LST) is a widely used indicator to assess the intensity of UHI significantly affected by the local land use/cover (LULC). In this study, we used the Landsat time-series data to derive the LULC composition and LST distribution maps of Nanjing in 2000, 2014, and 2018. A correlation analysis was carried out to check the relationship between LST and the density of each class of LULC. We found out that cropland and forest in Nanjing are helping to cool the city with different degrees of cooling effects depending on the location and LULC composition. Then, a Cellar Automata (CA)-Markov model was applied to predict the LULC conditions of Nanjing in 2030 and 2050. Based on the simulated LULC maps and the relationship between LST and LULC, we delineated high- and moderate-LST related risk areas in the city of Nanjing. Our findings are valuable for the local government to reorganize the future development zones in a way to control the urban climate environment and to keep a healthy social life within the city.

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Optimal Land Use Analysis Using Lindenmayer Grammars

Olsztyn Economic Journal ◽

10.31648/oej.3228 ◽

2013 ◽

Vol 8 (2) ◽

pp. 163-175

Author(s):

Urszula Żukowska ◽

Grażyna Kalewska

Keyword(s):

Land Use ◽

Urban Development ◽

Computer Program ◽

L System ◽

L Systems ◽

The City

In today's world, when it is so important to use every piece of land for a particular purpose, both economically and ecologically, identifying optimal land use is a key issue. For this reason, an analysis of the optimal land use in a section of the city of Olsztyn, using the L-system Urban Development computer program, was chosen as the aim of this paper. The program uses the theories of L-systems and the cartographic method to obtain results in the form of sequences of productions or maps. For this reason, the first chapters outline both theories, i.e. the cartographic method to identify optimal land use and Lindenmayer grammars (called L-systems). An analysis based on a fragment of the map of Olsztyn was then carried out. Two functions were selected for the analysis: agricultural and forest-industrial. The results are presented as maps and sequences in individual steps.

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Land-use types shape soil microbial compositions under rapid urbanization in the Xiong'an New Area, China

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.145976 ◽

2021 ◽

Vol 777 ◽

pp. 145976

Author(s):

Can Wang ◽

Abolfazl Masoudi ◽

Min Wang ◽

Jia Yang ◽

Zhijun Yu ◽

...

Keyword(s):

Land Use ◽

Rapid Urbanization ◽

Soil Microbial ◽

Land Use Types

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Sources of and Control Measures for PTE Pollution in Soil at the Urban Fringe in Weinan, China

Land ◽

10.3390/land10070762 ◽

2021 ◽

Vol 10 (7) ◽

pp. 762

Author(s):

Lei Han ◽

Rui Chen ◽

Zhao Liu ◽

Shanshan Chang ◽

Yonghua Zhao ◽

...

Keyword(s):

Land Use ◽

Urban Expansion ◽

Pollution Sources ◽

Urban Fringe ◽

Control Measures ◽

Atomic Fluorescence Spectrometry ◽

Human Beings ◽

Rapid Urbanization ◽

Kriging Interpolation Method ◽

The Impact

The environment of the urban fringe is complex and frangible. With the acceleration of industrialization and urbanization, the urban fringe has become the primary space for urban expansion, and the intense human activities create a high risk of potentially toxic element (PTE) pollution in the soil. In this study, 138 surface soil samples were collected from a region undergoing rapid urbanization and construction—Weinan, China. Concentrations of As, Pb, Cr, Cu, and Ni (Inductively Coupled Plasma Mass Spectrometry, ICP-MS) and Hg (Atomic Fluorescence Spectrometry, AFS) were measured. The Kriging interpolation method was used to create a visualization of the spatial distribution characteristics and to analyze the pollution sources of PTEs in the soil. The pollution status of PTEs in the soil was evaluated using the national environmental quality standards for soils in different types of land use. The results show that the content range of As fluctuated a small amount and the coefficient of variation is small and mainly comes from natural soil formation. The content of Cr, Cu, and Ni around the automobile repair factory, the prefabrication factory, and the building material factory increased due to the deposition of wear particles in the soil. A total of 13.99% of the land in the study area had Hg pollution, which was mainly distributed on category 1 development land and farmland. Chemical plants were the main pollution sources. The study area should strictly control the industrial pollution emissions, regulate the agricultural production, adjust the land use planning, and reduce the impact of pollution on human beings. Furthermore, we make targeted remediation suggestions for each specific land use type. These results are of theoretical significance, will be of practical value for the control of PTEs in soil, and will provide ecological environmental protection in the urban fringe throughout the urbanization process.

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Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron

Sensors ◽

10.3390/s21144916 ◽

2021 ◽

Vol 21 (14) ◽

pp. 4916

Author(s):

Ali Usman Gondal ◽

Muhammad Imran Sadiq ◽

Tariq Ali ◽

Muhammad Irfan ◽

Ahmad Shaf ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Real Time ◽

Multilayer Perceptron ◽

Smart Cities ◽

Classification Model ◽

Rapid Urbanization ◽

Metal Waste ◽

Waste Classification ◽

The City

Urbanization is a big concern for both developed and developing countries in recent years. People shift themselves and their families to urban areas for the sake of better education and a modern lifestyle. Due to rapid urbanization, cities are facing huge challenges, one of which is waste management, as the volume of waste is directly proportional to the people living in the city. The municipalities and the city administrations use the traditional wastage classification techniques which are manual, very slow, inefficient and costly. Therefore, automatic waste classification and management is essential for the cities that are being urbanized for the better recycling of waste. Better recycling of waste gives the opportunity to reduce the amount of waste sent to landfills by reducing the need to collect new raw material. In this paper, the idea of a real-time smart waste classification model is presented that uses a hybrid approach to classify waste into various classes. Two machine learning models, a multilayer perceptron and multilayer convolutional neural network (ML-CNN), are implemented. The multilayer perceptron is used to provide binary classification, i.e., metal or non-metal waste, and the CNN identifies the class of non-metal waste. A camera is placed in front of the waste conveyor belt, which takes a picture of the waste and classifies it. Upon successful classification, an automatic hand hammer is used to push the waste into the assigned labeled bucket. Experiments were carried out in a real-time environment with image segmentation. The training, testing, and validation accuracy of the purposed model was 0.99% under different training batches with different input features.

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Trends and dynamics of material and energy flows in an urban context: a case study of a city with an emerging economy

Energy Sustainability and Society ◽

10.1186/s13705-021-00300-w ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Clara Inés Pardo Martínez ◽

William Alfonso Piña ◽

Angelo Facchini ◽

Alexander Cotte Poveda

Keyword(s):

Latin America ◽

Population Growth ◽

Construction Materials ◽

The Other ◽

Material Flows ◽

Urban Context ◽

Rapid Urbanization ◽

Urban Agglomerations ◽

Energy Flows ◽

The City

Abstract Background Currently, most of the world’s population lives in cities, and the rapid urbanization of the population is driving increases in the demand for products, goods and services. To effectively design policies for urban sustainability, it is important to understand the trends of flows in energy and materials as they enter and leave a city. This knowledge is essential for determining the key elements characterizing future urban growth and addressing future supply challenges. Methods This paper presents an analysis of the energy and material flows in the city of Bogotá over the time span from 2001 to 2017. Urban flows are also characterized in terms of their temporal evolution with respect to population growth to compare and identify the changes in the main input flows, wealth production, emissions and waste in the city. Results The results of the analysis are then compared with those for other selected large urban agglomerations in Latin America and worldwide to highlight similarities and make inferences. The results show that in Bogotá, there was a decrease in some of the material flows, such as the consumption of water and the generation of discharge, in recent years, while there was an increase in the consumption of energy and cement and in the production of CO2 emissions and construction materials. Solid waste production remained relatively stable. With respect to the other large cities considered, we observe that the 10-year growth rates of the flows with respect to population growth are lower in Bogotá, particularly when compared with the other urban agglomerations in Latin America. Conclusions The findings of this study are important for advancing characterizations of the trends of material and energy flows in cities, and they contribute to the establishment of a benchmark that allows for the definition and evaluation of the different impacts of public policy while promoting the sustainability of Bogotá in the coming decades.

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Spatiotemporal Influence of Land Use/Land Cover Change Dynamics on Surface Urban Heat Island: A Case Study of Abuja Metropolis, Nigeria

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10050272 ◽

2021 ◽

Vol 10 (5) ◽

pp. 272

Author(s):

Auwalu Faisal Koko ◽

Wu Yue ◽

Ghali Abdullahi Abubakar ◽

Akram Ahmed Noman Alabsi ◽

Roknisadeh Hamed

Keyword(s):

Land Use ◽

Land Cover ◽

Land Surface ◽

Urban Expansion ◽

Urban Heat Islands ◽

Sustainable Land Use ◽

Land Use Land Cover ◽

Urban Centers ◽

Rapid Urbanization ◽

Urban Heat

Rapid urbanization in cities and urban centers has recently contributed to notable land use/land cover (LULC) changes, affecting both the climate and environment. Therefore, this study seeks to analyze changes in LULC and its spatiotemporal influence on the surface urban heat islands (UHI) in Abuja metropolis, Nigeria. To achieve this, we employed Multi-temporal Landsat data to monitor the study area’s LULC pattern and land surface temperature (LST) over the last 29 years. The study then analyzed the relationship between LULC, LST, and other vital spectral indices comprising NDVI and NDBI using correlation analysis. The results revealed a significant urban expansion with the transformation of 358.3 sq. km of natural surface into built-up areas. It further showed a considerable increase in the mean LST of Abuja metropolis from 30.65 °C in 1990 to 32.69 °C in 2019, with a notable increase of 2.53 °C between 2009 and 2019. The results also indicated an inverse relationship between LST and NDVI and a positive connection between LST and NDBI. This implies that urban expansion and vegetation decrease influences the development of surface UHI through increased LST. Therefore, the study’s findings will significantly help urban-planners and decision-makers implement sustainable land-use strategies and management for the city.

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